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2. Bundesliga
3–0
Full-time
St Pauli
T T T S S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Greuther Furth St Pauli
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
67%
50%
Average goals
3,3
2,5
Scored
1,8
1,3
Conceded
1,5
1,2
Goal diff per game
+0,3
+0,2
This season — 2. Bundesliga · 18/18 matches
Win Ø 34%
39%
28%
Points per game
1,4
1,2
Over 2.5 Ø 47%
50%
44%
Both score Ø 56%
50%
61%
Average goals
2,7
2,6
Scored
1,4
1,3
Conceded
1,3
1,3
Goal diff per game
+0,1
+0,1
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–0

24 Shots 11
7 Shots on target 2
6 Corners 10
14 Free kicks against 13
1 Yellow cards 1
0 Red cards 0
The table before the match Greuther Furth 8. · St Pauli 11.
# Team K V U T +/− P
1 Bielefeld 19 10 7 2 +16 37
2 Hamburg 18 8 7 3 +17 31
3 Stuttgart 18 9 4 5 +6 31
4 Heidenheim 18 8 6 4 +9 30
5 Erzgebirge Aue 18 8 5 5 +3 29
6 Osnabruck 18 7 5 6 +6 26
7 Regensburg 18 7 5 6 +4 26
8 Greuther Furth 18 7 4 7 +1 25
9 Sandhausen 18 5 9 4 +1 24
10 Holstein Kiel 18 6 5 7 -1 23
11 St Pauli 18 5 6 7 +1 21
12 Darmstadt 18 4 9 5 -5 21
13 Hannover 18 5 6 7 -8 21
14 Bochum 19 4 8 7 -4 20
15 Karlsruhe 18 4 8 6 -7 20
16 Nurnberg 18 4 7 7 -8 19
17 Wehen 18 4 5 9 -14 17
18 Dresden 18 3 4 11 -17 13

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,50
U
3,26
B
2,81
Over/under goals
O1,5 ✓
O2,5 ✓
1,89
U2,5
1,90
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.